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QlikView: Advanced Data Visualization

You're reading from   QlikView: Advanced Data Visualization Discover deeper insights with Qlikview by building your own rich analytical applications from scratch

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955996
Length 786 pages
Edition 1st Edition
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Authors (4):
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Barry Harmsen Barry Harmsen
Author Profile Icon Barry Harmsen
Barry Harmsen
Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Stephen Redmond Stephen Redmond
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Stephen Redmond
Karl Pover Karl Pover
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Karl Pover
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Table of Contents (25) Chapters Close

QlikView: Advanced Data Visualization
Contributors
Preface
1. Performance Tuning and Scalability FREE CHAPTER 2. QlikView Data Modeling 3. Best Practices for Loading Data 4. Advanced Expressions 5. Advanced Scripting 6. What's New in QlikView 12? 7. Styling Up 8. Building Dashboards 9. Advanced Data Transformation 10. Security 11. Data Visualization Strategy 12. Sales Perspective 13. Financial Perspective 14. Marketing Perspective 15. Working Capital Perspective 16. Operations Perspective 17. Human Resources 18. Fact Sheets 19. Balanced Scorecard 20. Troubleshooting Analysis 21. Mastering Qlik Sense Data Visualization Index

Marketing data model


A CRM system serves several functions. Along with keeping track of our sales process and the level of customer service, it also gives us first-hand data about our customers and leads. It contains an evolving event called a sales opportunity that, in itself, contains various discrete events, such as visits, and calls, and sales quotes. All this data is important first-hand information about our market. This is especially true in the case of sales quotes, which are documents that are similar to invoices and give us an idea what customers are interested in buying, how much they plan to purchase, and at what price. An opportunity may also include information about its origins, competing offers, and any reason why we failed to convert it into an actual sale.

A CRM system also tends to add more information to the customer catalog, such as demographic information. If customers are people, then we may gather data about their age, sex, education level, income level, marital status...

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